Improving Classification Accuracy of Decision Trees for Different Abstraction Levels of Data

Publisher: IGI Global_journal

E-ISSN: 1548-3932|1|3|1-14

ISSN: 1548-3924

Source: International Journal of Data Warehousing and Mining (IJDWM), Vol.1, Iss.3, 2005-07, pp. : 1-14

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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Abstract